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Business Analytics with R Training

Business Analytics with R Training

Business Analytics with R Training course is developed to help learners grasp the real-time knowledge and become an expert in Business Analytics. Training teaches all the steps required to import various formats of Data with advanced R.

Date :
27 Apr 2017
Course Duration (Hrs):
Date :
28 Apr 2017
Course Duration (Hrs) :
Date :
29 Apr 2017
Course Duration (Hrs) :
Date :
30 Apr 2017
Course Duration (Hrs) :
Date :
05 May 2017
Course Duration (Hrs):
Date :
06 May 2017
Course Duration (Hrs) :
Date :
07 May 2017
Course Duration (Hrs) :
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R is the flexible programming language for statistical computing and data environment which comprises of customizable graphics and animations. Commercial packages can be created to adequate intellectual protection for developers. R is a powerful programming in which data can be read and stored as a list, matrix or dataframe. It consists of interfaces from analytical software and data-visualization packages. Business analytics with R training teach the insight into analytics and acquire skills in methodologies and techniques.

Business Analytics with R Training Overview

Our training deliver practical knowledge on R language for Business Analytics. The sessions provide conceptual knowledge and cover the installation of R programming and how to import various formats of Data with advanced R topics like: GUI for Data Mining Technique, optimizing R code, Data Visualization using R Commander with practical implementation by real-time working expert.


Business Analytics with R Training Curriculum

 curriculum_moduleIntroduction To Business Analytics

In this module, you will understand what is R language, business analytics with R, Installing R and much more…

Understand Business Analytics and R
Knowledge on the R language
Community and ecosystem
Understand the use of ‘R’ in the industry
Compare R with other software in analytics
Install R and the packages useful for the course
Perform basic operations in R using command line
Learn the use of IDE R Studio and Various GUI
Use the ‘R help’ feature in R
Knowledge about the worldwide R community collaboration.

 curriculum_moduleIntroduction To R Programming

R language is widely used among statisticians and data miners for developing statistical software and data analysis.

The various kinds of data types in R and its appropriate uses
The built-in functions in R like: seq(), cbind (), rbind(), merge()
Knowledge on the various Sub-setting methods in R
Summarize data by using functions like: str(), class(), length(), nrow(), ncol() in R
Use of functions like head(), tail() for inspecting data
Indulge in a class activity to summarize data in R

One of the most important aspects of computing with data is the ability to manipulate it, to enable subsequent analysis and visualization. R offers a wide range of tools for this purpose.

The various steps involved in R for Data Cleaning
Functions used in R for Data Inspection
Tackling the problems faced during Data Cleaning
Uses of the functions like grep(), sub()
Coerce the data in R
Uses of the apply() functions.

This module describes how to enter or import data into R, and how to prepare it for use in statistical analyses.

Import data from spreadsheets and text files into R
Import data from other statistical formats like sas7bdat and spss into R
Package installation used for database import
Connect to RDBMS from R using ODBC and basic SQL queries in R
Basics of Web Scraping in R

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set.

Understanding the Exploratory Data Analysis (EDA)
Implementation of EDA on various datasets in R
Box plots
Understanding the cor() in R
EDA functions like summarize()
Multiple packages in R for data analysis
The Fancy plots like Segment plot and HC plot in R.

One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code.

Understanding on Data Visualization
Graphical functions present in R
Plot various graphs in R like table plot, histogram, box plot
Customizing Graphical Parameters to improvise the plots
Understanding GUIs like Deducer and R Commander
Introduction to Spatial Analysis in R

This module will concentrate on k means clustering techniques.

Introduction to Data Mining in R
Understanding Machine Learning
Supervised and Unsupervised Machine Learning Algorithms in R
K-means Clustering.

Understand Association Rule Mining in R and sentiment analysis.

Association Rule Mining in R
Sentiment Analysis.

We’ll demonstrate linear regression and logistic regression in this module

Linear Regression in R
Logistic Regression in R

In this module, learn about Anova and predictive analysis techniques in R

Predictive Analysis.

This module will enlighten you over the decision trees in R, classification Rules, concepts of random forest and much more..

Decision Trees in R
Algorithm for creating Decision Trees
Greedy Approach: Entropy and Information Gain
Creating a Perfect Decision Tree in R
R Classification Rules for Decision Trees
Concepts of Random Forest in R
Working of Random Forest in R
Features of Random Forest in R

This module discusses the concepts taught throughout the course and their implementation in a Project..

Analyse Census Data
To predict insights on the income of the people based on the factors like : Age, education, work-class, occupation, etc.


Business Analytics with R Course FAQs

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available if the participants are more than 2.

As we are one of  the leading providers of Online training, We have customers from USA, UK, Canada, Australia, UAE and other parts of the world. We are located in USA.

Mindmajix Technologies Inc

14 Pasco Drive
East Windsor, Connecticut, 06088
United States (US)
Phone: 201 378 0518


Job Support

Mindmajix Job support’s aim is to train and support as many young IT professionals as possible in achieving their tasks for attaining quality jobs in the regular workforce.

For a fresher in IT, the actual requirement of programming and development standards could be partially or completely different in the job environment. Job support gives graduates that extra guidance before or after they attempt employment into IT sector by assisting them with the Business Analytics with R training by highly experienced and real time professionals with full stack technical background in the Business Analytics with R field. They address your complete issues that you face periodically.

We have wide-spread services across India, USA, Australia and other countries, assisting software employed people to excel in their jobs when they have an onset of a worsening condition.

Our trainers support you solve your technical problem and guide you to the right path in order to obtain a favourable solution. Once we understand your project, the subsequent problems are solved even better and faster.

What we assure?

* Our trainers make it a point to make you capable of understanding the real world scenarios.

* Our trainers will provide exceptional Technical assistance and help you out solve your Technical problems at your jobs in an efficient way.

* We assist the person learn a new job, and ensure extra assistance or a different format for learning the role vividly.

We Specialize in providing most reliable support and you can entirely entrust to us.

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